mau: Decision Models with Multi Attribute Utility Theory

Provides functions for the creation, evaluation and test of decision models based in Multi Attribute Utility Theory (MAUT). Can process and evaluate local risk aversion utilities for a set of indexes, compute utilities and weights for the whole decision tree defining the decision model and simulate weights employing Dirichlet distributions under addition constraints in weights.

Version: 0.1.2
Depends: R (≥ 3.0)
Imports: data.table, gtools, stringr, igraph, RColorBrewer, ggplot2, Rdpack
Suggests: knitr, rmarkdown
Published: 2018-01-17
Author: Felipe Aguirre [ctb], Julio Andrade [ctb], Pedro Guarderas [aut, cre], Daniel Lagos [ctb], Andrés Lopez [ctb], Nelson Recalde [ctb], Edison Salazar [ctb]
Maintainer: Pedro Guarderas <pedro.felipe.guarderas at gmail.com>
License: LGPL-3
URL: https://github.com/pedroguarderas/mau
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mau results

Downloads:

Reference manual: mau.pdf
Vignettes: Running a MAUT Model
Package source: mau_0.1.2.tar.gz
Windows binaries: r-devel: mau_0.1.2.zip, r-release: mau_0.1.2.zip, r-oldrel: mau_0.1.2.zip
OS X binaries: r-release: mau_0.1.2.tgz, r-oldrel: not available
Old sources: mau archive

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